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maw-js: Multi-Agent Workflow Orchestrator and Remote tmux Orchestra Control Platform

An open-source project supporting multi-agent workflow orchestration, providing CLI tools and a React/Three.js web interface for remote control of tmux sessions, enabling distributed task coordination and visual monitoring.

多智能体tmux工作流编排ReactThree.jsBun远程控制可视化CLI工具
Published 2026-04-13 22:14Recent activity 2026-04-13 22:25Estimated read 4 min
maw-js: Multi-Agent Workflow Orchestrator and Remote tmux Orchestra Control Platform
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Section 01

maw-js: Introduction to Multi-Agent Workflow Orchestration and Remote tmux Control Platform

maw-js is an open-source multi-agent workflow orchestrator and remote tmux Orchestra control platform. Its core innovation lies in combining CLI tools with a React/Three.js web interface to achieve remote tmux session control, distributed task coordination, and visual monitoring, addressing the pain points of multi-agent collaborative orchestration and remote tmux management.

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Section 02

Background: Technical Challenges in Multi-Agent Collaboration and tmux Management

As AI evolves towards multi-agent systems, workflow orchestration and coordination have become key issues; manual management of multiple tmux sessions on the server side is inefficient and error-prone; traditional solutions either lack visualization or are difficult to integrate with terminal workflows, so the market needs a platform with a unified interaction model.

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Section 03

Methodology: Core Functions and Technical Implementation

Remote tmux Control

Encapsulates the underlying tmux protocol, supporting session creation/attachment/destruction, command injection, status monitoring, and batch management of multi-server sessions.

CLI Tools

Built on Bun, providing session management, command injection, JSON status output, and YAML/JSON workflow definition functions.

Web Interface

  • React Management Interface: Session grid, terminal embedding, log streaming, workflow editor;
  • Three.js 3D Visualization: Agent nodes (resource status visualization), relationship graph, spatial navigation interaction.

Tech Stack

Bun backend, TypeScript, React18, Three.js, WebSocket real-time communication.

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Section 04

Evidence: Application Scenarios and Community Ecosystem

Application Scenarios

Suitable for AI R&D labs (multi-model comparison), automated operation and maintenance (distributed deployment), educational demonstrations (distributed system teaching), and remote development environments (cloud management).

Community Ecosystem

Evolved from multi-agent-workflow-kit, with 16 forks on GitHub, clear technical tags (bun, multi-agent, etc.), attracting target users.

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Section 05

Conclusion: Summary of Core Project Value

maw-js bridges CLI and web interfaces, solving the problems of multi-agent orchestration and remote tmux management; Three.js 3D visualization is a unique advantage, transforming abstract system states into intuitive visual presentations, providing effective solutions for relevant scenarios.

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Section 06

Recommendations: Target Users and Usage Suggestions

It is recommended for developers building multi-agent systems and operation and maintenance personnel managing a large number of remote terminal sessions to try maw-js; as AI agent technology matures, the importance of such orchestration tools will continue to increase.